Evolutionary self-organization of an artificial potential field map with a group of autonomous robots

Jiming LIU, J. B. Wu, David A. Maluf

Research output: Contribution to conferenceConference paperpeer-review

1 Citation (Scopus)

Abstract

This paper is concerned with two issues: (1) how to enable distributed robots to dynamically acquire their goal-directed collective behaviors, and (2) how to apply the methodology of collective behavioral learning to solve the world modeling problems in mobile robot navigation. We have developed an evolutionary self-organization approach to collective task handling, and furthermore, demonstrated the implemented approach in tackling the specific problem of collectively constructing a global spatial representation, i.e., an artificial potential field map, in an unknown environment.

Original languageEnglish
Pages350-357
Number of pages8
DOIs
Publication statusPublished - 1999
Event1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States
Duration: 6 Jul 19999 Jul 1999

Conference

Conference1999 Congress on Evolutionary Computation, CEC 1999
Country/TerritoryUnited States
CityWashington, DC
Period6/07/999/07/99

Scopus Subject Areas

  • Computational Mathematics

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